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Feng Shao (邵枫)

  

  3D Video Coding

  We are deeply exploring the possible redundancies in 3D signal, and making the optimal resource allocation (computational bits and cost) among different channels.

  [1] Feng Shao,Gangyi Jiang, Weisi Lin, Mei Yu, Qionghai Dai. Joint bit allocation and rate control for coding multi-view video plus depth based 3D video, IEEE Transactions on Multimedia, 15(8): 1843-1854, Dec. 2013. PDF

  Accurate bit allocation and rate control on view level, texture/depth level and frame level.

  [2] Feng Shao, Gangyi Jiang, Mei Yu, Ken Chen, Yo-Sung Ho. Asymmetric coding of multi-view video plus depth based 3-D video for view rendering, IEEE Transactions on Multimedia, 14(1): 157-167, Feb. 2012. PDF

  The most representative work in MVD based 3D video coding.

  [3] Feng Shao,Weisi Lin, Gangyi Jiang, Mei Yu, Qionghai Dai. Depth map coding for view synthesis based on distortion analyses, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 4(1): 106-117, March 2014. PDF

  We use maximum tolerable depth distortion (MTDD) and depth disocclusion mask (DDM) to reveal the redundancy in depth maps.

  [4] Feng Shao, Weisi Lin, Gangyi Jiang, Mei Yu. Low complexity depth coding by depth sensitivity fidelity aware rate-distortion optimization, IEEE Transactions on Broadcasting, 62(1): 94-102, March 2016. PDF

  We incorporate depth sensitivity fidelity (DSF) into the rate distortion optimization (RDO) process.

  3D Image Quality Assessment

  The most comprehensive works in this aspect up to now, to understand and quantify human binocular vision in measuring quality degradations.

  (i) Full-Reference Methods

  

  [1] Feng Shao,Weisi Lin, Shanbo Gu, Gangyi Jiang, Thambipillai Srikanthan. Perceptual full-reference quality assessment of stereoscopic images by considering binocular visual characteristics, IEEE Transactions on Image Processing, 22(5): 1940-1953, May 2013. PDF ESI Highly Cited Paper

  It is one of the pioneering works that devotes to modeling binocular vision mechanisms and developing a metric taking into account binocular perceptual characteristics.

  [2] Feng Shao, Kemeng Li, Weisi Lin, Gangyi Jiang, Mei Yu, Qionghai Dai. Full-reference quality assessment of stereoscopic images by learning binocular receptive field properties, IEEE Transactions on Image Processing, 24(10): 2971-2983, Oct. 2015.

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